30 citations · 119 across the 15 of their papers we have counts for
3 papers · 1 filter
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Baoru Huang, Jianqing Zheng, Anh Nguyen +4
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo images pa…
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou +1
Depth estimation from a stereo image pair has become one of the most explored applications in computer vision, with most of the previous methods relying on fully supervised learnin…
D-Net: Siamese based Network with Mutual Attention for Volume Alignment
Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez
Alignment of contrast and non-contrast-enhanced imaging is essential for the quantification of changes in several biomedical applications. In particular, the extraction of cartilag…